Optimal control of wastewater treatment process using NSGAII algorithm based on multi-objective uniform distribution

LI Fei; YANG Cuili; LI Wenjing; QIAO Junfei

doi:10.11949/j.issn.0438-1157.20181530

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Optimal control of wastewater treatment process using NSGAII algorithm based on multi-objective uniform distribution

Process system engineering | 更新时间：2026-07-24

- Optimal control of wastewater treatment process using NSGAII algorithm based on multi-objective uniform distribution
- CIESC Journal Vol. 70, Issue 5, Pages: 1868-1878(2019)
- 作者机构：
  
  1.北京工业大学信息学部，北京 100124
  2.计算智能和智能系统北京市重点实验室，北京 100124
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20181530
  CLC： TQ 028.8
- Received：02 January 2019，
  
  Revised：2019-02-19，
  
  Online First：24 July 2026，
  
  Published：05 May 2019
- 稿件说明：
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李霏, 杨翠丽, 李文静, 乔俊飞. 基于均匀分布NSGAII算法的污水处理多目标优化控制[J]. 化工学报, 2019, 70(5): 1868-1878

LI Fei, YANG Cuili, LI Wenjing, QIAO Junfei. Optimal control of wastewater treatment process using NSGAII algorithm based on multi-objective uniform distribution[J]. CIESC Journal, 2019, 70(5): 1868-1878
李霏, 杨翠丽, 李文静, 乔俊飞. 基于均匀分布NSGAII算法的污水处理多目标优化控制[J]. 化工学报, 2019, 70(5): 1868-1878 DOI： 10.11949/j.issn.0438-1157.20181530.

LI Fei, YANG Cuili, LI Wenjing, QIAO Junfei. Optimal control of wastewater treatment process using NSGAII algorithm based on multi-objective uniform distribution[J]. CIESC Journal, 2019, 70(5): 1868-1878 DOI： 10.11949/j.issn.0438-1157.20181530.

摘要

针对污水处理过程控制中能耗过大、出水水质超标严重等问题，提出了一种基于均匀分布的NSGAII(non-dominated sorting genetic algorithm II based on uniform distribution

UDNSGAII)多目标优化智能控制系统。首先，该方法以污水处理能耗和出水水质作为优化目标，建立多目标优化模型。其次，为了获得溶解氧和硝态氮的优化设定值，提高Pareto解的性能，该算法将种群映射到目标函数对应的超平面

并在该平面上进行聚类以增加解的多样性。此外，加入分布性判断模块和分布性加强模块提高解的分布性。最后，采用比例积分微分(proportional integral derivative

PID)控制器对溶解氧和硝态氮的优化设定值进行底层跟踪控制。为了验证该算法的有效性，采用国际基准的污水处理仿真平台(benchmark simulation model No.1

BSM1)来进行实验。结果显示，所提出的UDNSGAII多目标优化控制方法能够在满足出水水质达标的同时，有效地降低污水处理过程能耗。

Abstract

Aiming at the problems of excessive energy consumption (EC) and exceeded seriously effluent quality (EQ) in wastewater treatment control process

an optimal control of wastewater treatment process using a multi-objective uniform distribution NSGAII algorithm (UDNSGAII) was proposed. Firstly

EC and EQ of wastewater treatment are regarded as optimization objectives

and the multi-objective optimal control model is established. Secondly

to obtain the optimal set values of dissolved oxygen (DO) and nitrate nitrogen (NO)

and improve the performance of Pareto solution

the individuals which have been clustered are mapped to the hyperplane of the corresponding objective function

then

the diversity of population is increased. In addition

the distribution judgment module and distributed enhancement module are used to improve the distribution of solutions. Finally

PID controller as the bottom controller is used to track the optimal setting value of DO and NO. To test the effectiveness of the proposed algorithm

benchmark simulation model No.1 (BSM1) is used. The results show that the proposed UDNSGAII multi-objective optimization control method can effectively reduce EC of wastewater treatment process while meeting EQ standards.

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references

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